The objective of this research paper on research productivity in the Indian Automotive Industry is to present the transformation of the research community of the Indian automotive Industry in a progressively responsible way, with reference to SIAT conferences held so far. It reveals the dynamic nature of automotive research in the country. The exhibit's research outcome is dominated by specific domains and specific organizations in a dynamic way. It is also elaborating the countries and scientists preferred to collaborate with and their impact on the Indian automotive Industry.
The world is becoming automated day by day in each and every aspect. The technological approaches to solve every human problem are evolving at a great interest in this rapid advancing environment. Automated houses, cars(for instance, Tesla self-driving cars), machinery, industries can be considered as the progressive outcomes which made the human life comfort, safe and easy. Although, there exist numerous situations that are damaging and the lives of people miserably . One of those circumstances is “Road Accidents”. There may be many reasons for this problem where “Driver fatigue” is one of those. “Each year, around 1.5 lakh people die in road mishaps in India.” –The Times of India[17]. To mitigate these accidents, we develop a model based on Convolutional Neural Networks (CNNs), Deep Learning which can detect the sleepiness or fatigue and notify the driver(or the person who is driving). In this paper, we developed a model using CNN classifier that identifies whether a driver is sleepy or not. The model here also provides an alerting alarm when the driver is sleeping (whenever he/she closes eyes). The proposed model is also evaluated using large amount of data to increase its accuracy and correctness while detecting the person’s drowsiness.
Making insightful systems to prevent minor accidents can be particularly incredible in limiting the difficulty and loss of life. Street crashes and related types of mishaps are a typical reason for injury and death among the human population. One of the elements which assume a significant part in mishaps is the human blunders including driving exhaustion depending on new brilliant methods; this application recognizes the indications of weariness and lethargy despite the individual at the hour of driving. The proposed framework depends on three separate calculations. In this model, the individual’s face is monitored by a camera in the initial step by getting 14-16fps video grouping. At that point, the pictures are changed from RGB space into YCbCr and HSV spaces. The face territory is isolated from different parts and exceptionally precise HDP is accomplished. That the eyes are open or shut in a particular time span is controlled by zeroing in on thresholding and conditions concerning the balance of human appearances. The proposed framework has been carried out in excess of thirty distinctive video successions with normal precision of93.18 and a discovery rate (DR) of 92.71 out of approximately 2500 picture outlines. High precision in the division, low blunder rate, and fast preparation of information recognize this framework from comparable ones. This framework can limit the number of mishaps brought about by drivers’ exhaustion.
This paper affords a identify and discover human faces is an photograph irrespective of their position, scale, in-aircraft rotation, orientation, pose, illumination etc. To efficaciously become aware of the individual through surprising the history and different noises within side the photograph. It have to be easy and powerful for the customers and become aware of faces which might be covered with scarf, mask, shades etc, is one of the vital components that influences the overall performance of face reputation. Many algorithms and technology are proposed to clear up the occluded face reputation wherein we use haar cascade set of rules that is simplest one. Initially this set of rules wishes loads of nice pix(pix of faces) and terrible pix(pix without faces) to teach the classifier then we should extract features from it. Facial detection is prompted through readability of the photograph, colored or black and white pix. It can simplest help frontal detection of pix and the education does takes loads of time with a purpose to separate a terrible face from a terrible face from
Currently, data pre-processing is one of the areas of nice interest as a result of it permits the discovery of hidden and infrequently attention-grabbing patterns in massive volumes of information. information scientists pay most of their time on information preparation tasks that have investigation regarding the info, loading information, and cleanup information, in line with an exploration conducted by Anaconda. The real-world massive information sets square measure obtained from several sources and contain data that tend to be incomplete, creaky, and inconsistent thence required correct investigation. during this context, it’s vital to arrange information to satisfy the necessities of information mining algorithms. this can be the role of the information pre-processing stage, within which information cleanup, transformation, and integration, or information spatiality reduction square measure performed. just about any sort of information analytics, information science or AI development needs some sort of information pre-processing to supply reliable, precise, and strong results for enterprise applications.
In building construction there are basically two types of structural steel, hot-rolled steel shapes, and cold-formed steel shapes. The manufacturing process of cold-formed steel involves forming the material by either press-braking or cold roll forming to achieve the desired shape. The built-up CFS columns have better performance than CFS columns of single-channel sections. In this study, the structural performance of new types of composite columns: I-shape, C-shape, and Z-shaped CFS columns of partially concrete-filled and fully concrete-filled are analyzed. This axial performance is compared with hot rolled sections (ISMB) using ANSYS 19. A finite element analysis (FEA) model was developed to simulate the structural performance of these specially shaped CFS columns. Columns were analyzed under axial loading conditions. Investigation in buckling improvement due to partially and fully filled in CFS has good scope in the cost-effective method of improving stiffness and strength. Global buckling was the major failure mode detected. From the comparison, it was observed that the weight of CFS is half of ISMB and fully filled concrete CFS I-shaped section has a 111% increase in load than ISMB section
Freud tried to probe deeper into the unknown realm of the unconscious and was successful in this. Freud also conducted psychoanalytic studies on art and thus attempted to find unconscious factors within the artist's own psyche.
This paper consists of a detailed review of five multipliers compared with respect to their parameters speed, area, power consumption, and circuit complexity namely are array multiplier, modified booth multiplier, Wallace multiplier, and modified booth Wallace multiplier also in this project experimental analysis of Multiplier and Accumulator (MAC) with the help of modified booth Wallace multiplier is proposed to perform the arithmetic operation with high speed, the performance was elevated when two operation multiplication and accumulation was combined and devised with the carry-save adder(CSA). Because of the accumulator propagation delay which is largest after merging CSA and MAC, it results in improved performance. Radix-2 modified booth algorithm based on 1’s complement has been used in proposed CSA design the bit density of multiplier and multiplicand are going to increase by using the modified booth algorithm. To decrease the number of input bits, carries propagates through the LSB of partial products so has to generate the LSB in advance. A pipeline scheme has been introduced in the architecture proposed for MAC in order to accumulate the intermediate result in the form of sum and carry so that the performance of architecture gets improved. While keeping the clock frequency the same the proposed architecture is twice efficient as of previous design
Businessesare constantly overhauling their existing infrastructure and processes to be more efficient, safe, and usable for employees, customers, and the community. With the ongoing pandemic, it's even more important to have advanced applications and services in place to mitigate risk. For public safety and health, authorities are recommending the use of face masks and coverings to control the spread of Coronovirus. The COVID-19 pandemic is devastation to themankind irrespective of caste, creed, gender, and religion. Using a face mask can undoubtedly help in managing the spread of the virus. COVID-19 face mask detector uses deep learning techniques to successfully test whether a person is wearing a face mask or not. Using a deep learning method called Convolutional Neural Network, got an accuracy of 98.6 %. It can work with still images and also works with a live video stream. Cases in which the mask is improperly worn are when the nose and mouth are partially covered is considered as the mask is not worn. Our face mask identifier is the least complex in structure and gives quick results and hence can be used in CCTV footage to detect whether a person is wearing a mask perfectly so that he does not pose any danger to others. Mass screening is possible and hence can be used in crowded places like railway stations, bus stops, markets, streets, mall entrances, schools, colleges, etc. By monitoring the placement of the face mask on the face, we can make sure that an individual wears it the right way and helps to curb the scope of the virus
Movies have become an integral part of human life, from telling stories to emphasizing rituals, culture, and history, having mentioned that cinemas are milestones when an awareness quotient comes into the picture. Films are the most impactful channel to spread the news as they have both audio and video content which would help to bring a massive response from a larger audience. A film is therefore a wonderful and most effective medium to create an eco-awareness among all walks of people in society. As we are already facing depletion in the ozone layer, global warming and environmental problems like acid rain, air pollution, water pollution, etc. can affect every human, animal, and nation on this planet. The researchers strongly believe that cinemas, web series, documentaries, etc. play a vital role in awareness creation among people. The current comprehensive research study says that the impact is more when it comes to cinema as compared to other mediums. The present research work is focusing on the following objectives like (i) analyze the impact of movies in creating eco-awareness, (ii) doing a comparative analysis of the impact of the movies created, (iii) suggesting policies that can enhance the effects of movies on the respective theme. Three movies from the International and three movies from the Indian Film Industry are chosen for the study. The research is conducted on the basis of reviews from IMDB (Internet movie database). The study shows that the movies under review had a positive effect on society in creating eco-awareness. According to current research, it can be said that movies play a crucial role in creating eco-awareness.
The heat exchanger is a device that exchanges heat between two flow lines. The goal of this article is to emphasize and presents briefly the heat exchanger designs used for liquefaction of nitrogen gas and subcooling of liquefied gas. Different researchers proposed various heat exchanger designs for liquefaction and subcooling of liquid nitrogen. Liquefied nitrogen gas has many applications. In this article, the heat exchanger designs developed by researchers over time for effective subcooling of liquid nitrogen are addressed and studied. Further content is focused on increasing the effectiveness of this type of heat exchanger for effective subcooling. The gaps in research identified and mentioned in the article.
I have an idea to reduce the carbon dioxide from nature and save the ecosystem. Some basic chemicals required for this process. This process is the conversion process of carbon dioxide. In this process probably a new industry will be born. This process can be used in thermal power stations and burning waste paper. Because this is about 85% of the total electric power 558990 GWH generated in 2007-08 by thermal power plants in India. Thus, the total CO2 emissions can be estimated as about 523 million tons from all the thermal power plants in India. In this process, the source of carbon dioxide is the burning waste papers or thermal power plants. If we burn the paper the paper produces carbon dioxide (but not roasting the paper).
Automatic Vehicle Plate Recognition (AVPR) is the extraction of vehicle license plate information from an image or sequence of images. From the past thirty years, AVPR is becoming the challenging and interesting area of research. AVPR systems include a wide range of applications. Numerous real-world applications such as electronic toll collection, automatic parking management, access control, radar-based speed-control, border control, criminal pursuit, traffic law enforcement, etc. have been benefited from it. A lot of commercial AVPR systems are available today and yet there are many challenges and issues in accurate recognition of license plates. In India, number plate standards are rarely practised. Licence plates recognition has many problems like unnecessary text, different font size and font type, blur, skew, environmental factors etc. The variations of the licence plate types or environments cause challenges in the recognition of number licence plates. The major objective of this thesis is to develop a robust, accurate and reliable automatic vehicle license plate recognition system. Our suggested approach is performed in three phases: In the first phase, the input image is pre-processed. Character regions are extracted in the second phase, and in the third phase, recognition of extracted characters is performed. The present work has been performed to recognize Indian licence plates
Earlier there were many circuits which were made using buffer technologies but no such matter exists which implemented five different buffers in any modulation circuit.The whole work is been divided into 3 basic section which is active balun, buffer circuit and the complementary switches. 77The active balun can have relatively less loss than a passive balun. We preferred active balun in the circuit due to its gain characteristics. In our circuit active balun consists of two MOSFETs with applied in source and drain. The output obtained in the common source FET will have a phase shift of 180 with the input and the output obtained in the common gate will have a phase shift of 0 or multiple of 360.The input signal was passed to each of the tested buffers and the switching conditions were tested on each of them. CMOS, BiCMOS, FET, common collector and opamp circuits were used for the switching condition and were later added with the active balun for the final result. The main reason for implementing these many signals was to get more accurate and correct results in a shorter period. Based on all the simulations and parameters. In this paper we have further worked on different buffer technologies which were not included in previous works and have got various parameters to compare them and finally conclude which one is better. Also we calculated the rise time and fall time of the buffers to compare the spontaneously they give results. Before plotting the graph and comparing different parameters we have taken different cases and at different input value.
The world is growing faster than ever and to keep up with the times, businesses have to keep up with their ever-evolving clients. This is difficult when there are a multitude of technologies to choose from and none of them offer the precise control that is essential. The aim is to provide a level of convenience to businesses (small to large scale) to save time and have an integrated environment for purchase, inventory and sale. Completely customisable without technical background to match required workflow. Keywords⸻ Customer Data, Service, Management, Relationship, Business, Efficiency, Relationship Management
From the start of industrialization, air pollution in India and around the globe started increasing with new pollutants coming into existence. The extent of air pollution has also increased in the last few decades, very rapidly affecting human health and the earth's ecosystem badly. During pandemics like it happened in other countries, the same way, in India also government-imposed lockdown that resulted in the termination of all economic activities. The pandemic and imposed lockdown provided improved air quality as a gift to mankind. This duration also shows insight into the relationship between the economy and good air quality. We also get some insight into how to improve air quality without affecting the basic needs of society. This paper aims to examine the variation of the concentration of 5 main contaminants (PM2.5, PM10, NO2, CO and Ozone) before and after the lockdown imposed in 5 major Indian cities. After reading this paper, we get an insight into to what extent we can reduce air pollution by imposing lockdown and how the socio-economic, geographical variance across cities decides the extent of reduction in air pollution. We also get direction for future management strategies and policies to regain economic strength with sustainable improvements. So at the moment, we have to focus on both air pollution management and economic recovery. This study provides insight into the air quality index across the geographical variation of India.
Electric vehicles boom in the market started after the improvement in the battery technology but the improvement needs to be enhanced further. An Electric Vehicle has zero greenhouse gas emissions compared to conventional ICE vehicles or Hybrid Electric Vehicles and hence is a better alternative. An Electric Vehicle has a longer charging time which is a drawback. Hence using Ultracapacitor for fast charging purposes can be coupled with a battery to overcome the drawback. Therefore, improving the transient power capabilities of the battery to satisfy the road load demand is critical. This research studies integration of Ultra-Capacitor (UC) to Battery. The objective is to analyze the effect of integrating UCs on the transient response of the BEV powertrain. UCs have higher power density which can overcome the slow dynamics of batteries. An energy management strategy utilizing a peak power-sharing strategy is implemented. The goal is to decrease the power load on batteries and operate Ultracapacitor in its most efficient region. A complete model to simulate the physical behavior of UC-Integrated BEV is developed using MATLAB/SIMULINK. This increases the life of the battery since its protected from overcurrent. which increases the health of the battery based on the number of charge/discharge cycles.
Malaria is one of the most common infectious diseases affecting 300-500 million people every year. The increased resistance of the parasitic strains to anti-malarial drugs have made it all the more difficult to combat the disease at an early stage. Therefore, there is an immediate need to come up with novel strategies to arrest the spread of infection. We have been able to conclude that falcipain2, cysteine protease from P.falciparum is mainly responsible for degradation of haemoglobin and thus inhibitors of falcipain2 will block the hydrolysis of haemoglobin, preventing the further spread of infection. This article mainly focuses on the identification of new drug targets for antimalarial therapy and characterization of falcipain2 inhibitors by carrying out docking studies and statistical analysis. We have used docking softwares to identify the specific conformations of ligands that show the maximum binding affinity with the target and further analysed these results by generating descriptors manually to perform QSAR. We have made use of regression studies to perform similarity analysis by generating optimum models using statistical software. The models were generated with r =0.99, rcv= 0.99, s= 0.002 when Ds and GATS8s descriptors were correlated. The main classes of falcipain2 inhibitors include peptides comprising of vinyl sulphones, aldehydes and ketone groups. These peptides were tested for anti-malarial activity and two potential hits were identified.
As of now, the world is facing its greatest pandemic COVID-19. Social distancing has become a part of our lives more than ever during the recent times .From our project, we would like to analyze a video that displays people walking around and provide the output in the same frame whether or not the people shown in the video are maintaining a social distance between them. The code will then be generalized in order to take any sample video as input and to provide the output.This will potentially help authorities to monitor public areas for practicing social distance, which will eventually help to curb the spread of a contagious disease.
Glycerol, is being an attractive feed ingredient for cattle, is a by-product of a wide range of industrial applications. Glycerol has potential value in livestock feeding since it improves feed efficiency, metabolism, and can avoid ketosis. Research indicates that glycerol can be a suitable partial grain replacement in the diet of cows during the transition period and at early lactation. The impact on milk yield is not significant, but glycerol mostly decreases milk fat content. The inclusion of glycerol in the dairy ration has an effect on ruminal fermentation patterns. Glycerol is rapidly fermented in the rumen into propionate, and it is metabolized to glucose in the liver through the process of glycogenolysis, additionally, glycerol administration to ruminants can reduce greenhouse gas emissions. The purpose of this review is to highlight the potential benefits and drawbacks related to the use of glycerol in cattle. Glycerol, from biodiesel Industries, must be purified in order to make it a useful product for livestock feeding. The use of glycerol in ruminant nutrition can be justified for several reasons: (i) as a source of energy, (ii) as a glycogenic precursor, and (iii) it may have an effect on milk composition. The high energy value of glycerol provides the opportunity to use it as a partial substitute for grain in dairy rations. Supplementation of glycerol in dairy animals' diets is associated with increased propionate, butyrate, valerate, and isovalerate concentrations in the rumen. Glycerol can be used as 10%–15% of the dietary dry matter (DM) and is a well-established tool for treatment for ketosis in cows. Glycerol increases plasma glucose and may reduce non-esterified fatty acids and hydroxybutyrate levels. The dietary supplementation of glycerol does not have a direct effect on DM intake, milk yield, or milk composition. However, some researchers reported an increase in milk yield after glycerol supplementation associated with decreased milk fat concentration. It is also possible that the concentration in the milk of odd-chain fatty acids and cis-9, trans-11 conjugated linoleic acid may increase after glycerol application.
